Engaging Undergraduates in Social Science Research: The Taking the Pulse of Saskatchewan Project
Bibliographic record
Abstract
Although student involvement in research and inquiry can advance undergraduate learning, there are limited opportunities for undergraduate students to be directly involved in social science research. Social science faculty typically work outside of laboratory settings, with the limited research assistance work being completed by graduate students. The challenge, therefore, is to find ways to involve undergraduate social science students in research projects that relate to their field of study and that allow them to develop career-relevant skills. The Taking the Pulse of Saskatchewan project presents a unique model for undergraduate student involvement in social science research. The project involved over 30 faculty members from across the University of Saskatchewan’s Division of Social Sciences and over 40 undergraduate students. Students were directly involved in data collection, data analysis, report writing and media communications. Through their involvement, students developed and applied research, inquiry and communications skills. Drawing on academic literature regarding undergraduate involvement in research, this paper will present an overview of the Taking the Pulse project, and reflect on the lessons of the project.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.021 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".